Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device

The development of energy-efficient neuromorphic hardware using spintronic devices based on antiferromagnetic (AFM) skyrmion motion on nanotracks has gained considerable interest. Owing to their properties such as robustness against external magnetic fields, negligible stray fields, and zero net topological charge, AFM skyrmions follow straight trajectories that prevent their annihilation at nanoscale racetrack edges. This makes the AFM skyrmions a more favorable candidate than the ferromagnetic (FM) skyrmions for future spintronic applications. This work proposes an AFM skyrmion-based neuron device exhibiting the leaky-integrate-fire (LIF) functionality by exploiting either a thermal gradient or a perpendicular magnetic anisotropy (PMA) gradient in the nanotrack for leaky behavior by moving the skyrmion in the hotter region or the region with lower PMA, respectively, to minimize the system energy. Furthermore, it is shown that the AFM skyrmion couples efficiently to the soft FM layer of a magnetic tunnel junction, enabling efficient read-out of the skyrmion. The maximum change of 9.2% in tunnel magnetoresistance is estimated while detecting the AFM skyrmion. Moreover, the proposed neuron device has an energy dissipation of 4.32 fJ per LIF operation, thus paving the way for developing energy-efficient devices in AFM spintronics for neuromorphic computing.

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Publication Details

Journal
Nanotechnology
Published
2025-02-21
DOI
https://doi.org/10.1088/1361-6528/adb8c1
Citations
5
Primary Topic
Magnetic properties of thin films
Type
article
Field-Weighted Citation Impact
6.23
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article

Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device

Brajesh Kumar Kaushik, Namita Bindal, Jayasimha Atulasimha, Ravish Kumar Raj et al.
5 citations
Nanotechnology
Magnetic properties of thin films
6.23
article

Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device

Brajesh Kumar Kaushik, Namita Bindal, Jayasimha Atulasimha, Ravish Kumar Raj, Md Mahadi Rajib
article en
5 citations

Abstract

The development of energy-efficient neuromorphic hardware using spintronic devices based on antiferromagnetic (AFM) skyrmion motion on nanotracks has gained considerable interest. Owing to their properties such as robustness against external magnetic fields, negligible stray fields, and zero net topological charge, AFM skyrmions follow straight trajectories that prevent their annihilation at nanoscale racetrack edges. This makes the AFM skyrmions a more favorable candidate than the ferromagnetic (FM) skyrmions for future spintronic applications. This work proposes an AFM skyrmion-based neuron device exhibiting the leaky-integrate-fire (LIF) functionality by exploiting either a thermal gradient or a perpendicular magnetic anisotropy (PMA) gradient in the nanotrack for leaky behavior by moving the skyrmion in the hotter region or the region with lower PMA, respectively, to minimize the system energy. Furthermore, it is shown that the AFM skyrmion couples efficiently to the soft FM layer of a magnetic tunnel junction, enabling efficient read-out of the skyrmion. The maximum change of 9.2% in tunnel magnetoresistance is estimated while detecting the AFM skyrmion. Moreover, the proposed neuron device has an energy dissipation of 4.32 fJ per LIF operation, thus paving the way for developing energy-efficient devices in AFM spintronics for neuromorphic computing.

NanotechnologyVol. 36(16)
Indian Institute of Technology Roorkee (IN), Virginia Commonwealth University (US), Aarhus University (DK), MVJ Medical College and Research Hospital (IN)
Affordable and clean energy
Openalex Percentile: Top 4%
Magnetic properties of thin films
6.23
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Antiferromagnetic skyrmion-based energy-efficient leaky integrate and fire neuron device — Brajesh Kumar Kaushik, Namita Bindal, et al. · Nanotechnology (2025) | TGRS Research Map | TGRS